Evidence map›Paper›PMID 38937521›Full record

ArticleCommunications biology2024

Interconnected lineage trajectories link conventional and natural killer (NK)-like exhausted CD8

Erin M Witkop, Kirsten Diggins, Alice Wiedeman, Elisavet Serti, Gerald Nepom, Vivian H Gersuk, Bryce Fuchs, S Alice Long, Peter S Linsley

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Erin M WitkopBenaroya Research Institute, Systems Immunology, Seattle, WA, USA.ORCID 0000-0002-4117-7334
Kirsten DigginsBenaroya Research Institute, Systems Immunology, Seattle, WA, USA.
Alice WiedemanBenaroya Research Institute, Translational Immunology, Seattle, WA, USA.ORCID 0000-0001-7329-7288
Elisavet SertiImmune Tolerance Network (ITN), Bethesda, MD, USA.ORCID 0000-0003-4129-0254
Gerald NepomBenaroya Research Institute, Translational Immunology, Seattle, WA, USA.
Vivian H GersukBenaroya Research Institute, Genomics Core, Seattle, WA, USA.ORCID 0000-0003-4123-9926
Bryce FuchsBenaroya Research Institute, Translational Immunology, Seattle, WA, USA.
S Alice LongBenaroya Research Institute, Translational Immunology, Seattle, WA, USA.ORCID 0000-0002-0281-1240
Peter S LinsleyBenaroya Research Institute, Systems Immunology, Seattle, WA, USA. plinsley@benaroyaresearch.org.ORCID 0000-0002-8960-4307

Funding

Immune Tolerance Network UM1 2023 SupplementUM1AI109565 · NIAID · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI Mark S Anderson, Jane Hoyt Buckner · 2014 to 2026
$451.6M
Defining mechanisms of CD8 T cell exhaustion in T1DR01AI141952 · NIAID · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI LONG, S ALICE · 2020 to 2024
$2.8M
NIAID NIH HHS R01 AI141952NIAID NIH HHS UM1 AI109565U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) R01AI141952U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) UM1AI109565
6 · The paper itself

Abstract

Distinct Natural Killer (NK)-like CD57

Indexed as

CD8-Positive T-LymphocytesDiabetes Mellitus, Type 1Killer Cells, NaturalAdultCD57 AntigensCell LineageFemaleHepatocyte Nuclear Factor 1-alphaHumansMaleProgrammed Cell Death 1 ReceptorCD57 AntigensHepatocyte Nuclear Factor 1-alphaHNF1A protein, humanPDCD1 protein, humanProgrammed Cell Death 1 Receptor

Identifiers

PMID38937521
PMCPMC11211332

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.